> For the complete documentation index, see [llms.txt](https://aurexgold.gitbook.io/aurexgold-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aurexgold.gitbook.io/aurexgold-docs/ai-trading-intelligence.md). # AI Trading Intelligence The platform's intelligence layer is built on three core analysis pillars that continuously feed the AI engine with actionable data. ## A. Technical Analysis * Price action and trend structure analysis * Automatically mapped support and resistance zones * RSI, MACD, and moving average convergence analysis * Breakout and reversal pattern recognition * Volume and volatility profiling ## B. Fundamental Analysis * Interest rate and inflation data tracking * Central bank policy monitoring (Fed, ECB, BOJ, BOE) * USD strength and fiat currency correlation * Global gold supply and demand metrics * Real-time economic release parsing (CPI, NFP, Employment data) ## C. Market Intelligence * Global news and geopolitical event scanning * Social and broader market sentiment analysis * Institutional order book and liquidity pool analysis * Safe-haven demand and risk premium pricing --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://aurexgold.gitbook.io/aurexgold-docs/ai-trading-intelligence.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.